We provide robust data collection and scraping services beyond 1,000 datasets per second. Whether your data is stored with or without API access, our systems are able to read and store the data on a separate storage for archiving or AI training.

Data Collection Without API

Our system is able to read your remote data, clean them, preprocess and then store them in a separate system for present and future retrieval. We employ fast multi-threaded HTTP requests to read data while using robust and flexible regular expressions to preprocess the data. Once the data is preprocessed, we can add meanings such as appending metadata to each dataset. This ensures easy retrieval after archiving and completeness when used for AI training.

We can also provide an easy-to-use user interface to access this processed data for convenient data annotation and retrieval.

This method of data collection is usually utilized on systems that present its data in HTML format. Do note that data collecting speed without API is usually slower than with API.

Data Collection With API

We can integrate our system into your API to read your remote data without your intervention. We have achieved speeds above 1,000 data points per second. However, this depends on the network speed and latency of your API and the ability to enable bulk data readings.

We support APIs with JSON, XML or CSV formats.

Data Preprocessing After Collection

Once all data has been collected, we can conduct a preprocessing service that is performed to meet specific purposes.